phi-2-platypus-Commercial-lora

Model Details

Model Developers

• field2437

Base Model

• microsoft/phi-2(https://huggingface.co/microsoft/phi-2)

Training Dataset

• kyujinpy/Open-platypus-Commercial(https://huggingface.co/datasets/kyujinpy/Open-platypus-Commercial)

---

Model comparisons1

AI-Harness evaluation; link

Model	Copa	HellaSwag	BoolQ	MMLU
	0-shot	0-shot	0-shot	0-shot
phi-2-platypus-Commercial-lora	0.8900	0.5573	0.8260	0.5513

---

Sample Code

import torch
from transformers import AutoModelForCausalLM, AutoTokenizer

torch.set_default_device("cuda")

model = AutoModelForCausalLM.from_pretrained("field2437/phi-2-platypus-Commercial-lora", torch_dtype="auto", trust_remote_code=True)
tokenizer = AutoTokenizer.from_pretrained("field2437/phi-2-platypus-Commercial-lora", trust_remote_code=True)

inputs = tokenizer('''Below is an instruction that describes a task. Write a response that appropriately completes the request.

### Instruction:
Let $f(x)$ be the polynomial \\[f(x)=3x^4+5x^2-9x-2.\\] If $g(x)$ is equal to the polynomial $f(x-1)$, what is the sum of the coefficients of $g$?

### Response:
''', return_tensors="pt", return_attention_mask=False)

outputs = model.generate(**inputs, max_length=200)
text = tokenizer.batch_decode(outputs)[0]
print(text)

---